Muscle recruitment by the min/max criterion - a comparative numerical study

被引:293
|
作者
Rasmussen, J
Damsgaard, M
Voigt, M
机构
[1] Univ Aalborg, Inst Engn Mech, DK-9220 Aalborg E, Denmark
[2] Univ Copenhagen, Inst Exercise & Sport Sci, Univ Aalborg, Ctr Sensory Motor Interact, DK-1168 Copenhagen, Denmark
关键词
simulation; optimization; Dumbbell curl; inverse dynamics; multiple muscle systems;
D O I
10.1016/S0021-9290(00)00191-3
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
This paper introduces the min/max criterion for simulation of muscle recruitment in multiple muscle systems. The criterion is introduced and justified by comparison to two known criterion types: the polynomial criterion and the soft saturation criterion. The comparison is performed on a planar three-muscle elbow model performing a dumbbell curl. A generalized form of the soft saturation criterion is introduced, and it is shown that the min/max criterion can be interpreted as the limit of the classical criteria when the exponents in their mathematical expressions approach infinity. We finally show how the min/max criterion can be cast into a form that allows for efficient and robust numerical solution by linear programming. It is concluded that the min/max criterion possesses a number of attractive physiological as well as algorithmic advantages. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:409 / 415
页数:7
相关论文
共 50 条
  • [1] Vehicle routing problem with vector profits with max-min criterion
    Lee, Dongoo
    Ahn, Jaemyung
    ENGINEERING OPTIMIZATION, 2019, 51 (02) : 352 - 367
  • [2] A Max-Relevance-Min-Divergence criterion for data discretization with on naive
    Wang, Shihe
    Ren, Jianfeng
    Bai, Ruibin
    Yao, Yuan
    Jiang, Xudong
    PATTERN RECOGNITION, 2024, 149
  • [3] Characterization of Min-Max MPC with bounded uncertainties and a quadratic criterion
    Ramírez, DR
    Camacho, EF
    PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2002, 1-6 : 358 - 363
  • [4] Numerical solution of fuzzy max-min systems
    Abbasbandy, S
    Babolian, E
    Allame, M
    APPLIED MATHEMATICS AND COMPUTATION, 2006, 174 (02) : 1321 - 1328
  • [5] Study of min-max systems
    Olsder, G.J.
    RAIRO Recherche Operationnelle, 1996, 30 (01): : 17 - 30
  • [6] A comparative study of general fuzzy min -max neural networks for pattern classification problems
    Thanh Tung Khuat
    Bogdan Gabrys
    NEUROCOMPUTING, 2020, 386 : 110 - 125
  • [7] Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion
    Khandaker, Muhammad R. A.
    Rong, Yue
    2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (IEEE ICCS 2012), 2012, : 16 - 20
  • [8] Explicit solution of min-max MPC with additive uncertainties and quadratic criterion
    de la Peña, DM
    Ramírez, DR
    Camacho, EF
    Alamo, T
    SYSTEMS & CONTROL LETTERS, 2006, 55 (04) : 266 - 274
  • [9] Learning algorithms of bidirectional associative memory based on max-min criterion
    Fudan Univ, Shanghai, China
    Tien Tzu Hsueh Pao, 8 (28-32, 14):
  • [10] PARAMETER ESTIMATION USING A MIN/MAX CRITERION WITH APPLICATIONS TO SPEECH PROCESSING.
    Hult, Gunnar
    Chalmers Tekniska Hogskola, Doktorsavhandlingar, 1983, (428):